rmse

This function computes the root mean square error (RMSE) between a vector of
observed values <code>x</code> and simulated values <code>y</code>. <code>rel = FALSE</code>
returns the absolute RMSE, <code>rel = TRUE</code> the relative one. If
<code>na.rm</code> is <code>TRUE</code>, missing values are omitted before the
computation proceeds.

Small toolbox for data analyses in environmental chemistry and
ecotoxicology. Provides, for example, calibration() to calculate calibration
curves and corresponding limits of detection (LODs) and  limits of
quantification (LOQs) according to German DIN 32645 (2008). texture() makes
it easy to estimate soil particle size distributions from hydrometer
measurements (ASTM D422-63, 2007).

Zacharias Steinmetz

envalysis

Miscellaneous Functions for Environmental Analyses

Julius Albert

Kilian Kenngott

rmse function

<dl><dt>x</dt>
<dd>a numeric vector containing observed values.</dd>
<dt>y</dt>
<dd>a numeric vector containing simulated values.</dd>
<dt>rel</dt>
<dd>logical. If <code>TRUE</code>, the relative RMSE is calculated, if
<code>FALSE</code> the absolute RMSE is returned.</dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd></dl>

Arguments

Author

Root mean square error — rmse

<dl>

<dt>x</dt>
<dd>a numeric vector containing observed values.</dd>


<dt>y</dt>
<dd>a numeric vector containing simulated values.</dd>


<dt>rel</dt>
<dd>logical. If <code>TRUE</code>, the relative RMSE is calculated, if
<code>FALSE</code> the absolute RMSE is returned.</dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>

</dl>

rmse: Root mean square error

Description

Usage

Arguments

Author

Examples